Bányai M, Koman Z, Orbán G (2017)
Population activity statistics dissect subthreshold and spiking variability in V1
Journal of Neurophysiology, doi:10.1152/jn.00931.2016, in press.

Török B*, Janacsek K*, Nagy DG*, Orbán G#, Németh D# (2017)
Measuring and filtering reactive inhibition is essential for assessing serial decision-making and learning
Journal of Experimental Psychology, General, 146:529–542.
*,#: equal contributions

Orbán G, Berkes P, Fiser J, Lengyel M (2016)
Neural variability and sampling-based 
probabilistic representations in the visual cortex.
Neuron, 92:530–543.
Preview from Xaq Pitkow: Probability by Time
For further media coverage please check the  page of the project.

Houlsby NMT, Huszár F, Ghassemi MM, Orbán G, Wolpert DM, Lengyel M (2013)
Cognitive tomography reveals complex task-independent mental representations.
Current Biololgy, 10.1016/j.cub.2013.09.012.

Orbán G, Wolpert DM (2011)
Representations of uncertainty in sensorimotor control.
Current Opinion in Neurobiology, 21: 629-635.

Berkes P, Orbán G, Lengyel M, Fiser J (2011)
Spontaneous cortical activity reveals hallmarks of an optimal internal model of the environment.
Science, 331: 83-87.

Fiser J, Berkes P, Orbán G, Lengyel M. (2010)
Statistically optimal perception and learning: from behavior to neural representations.
Trends in Cognitive Sciences, 14: 119-30.

Orbán G, Fiser J, Aslin RN, Lengyel M. (2008)
Bayesian learning of visual chunks by human observers.
Proceedings of the National Academy of Sciences USA, 105: 2745-50.